{"id":230,"date":"2020-11-03T13:30:18","date_gmt":"2020-11-03T13:30:18","guid":{"rendered":"http:\/\/www.gecad.isep.ipp.pt\/spet\/?p=230"},"modified":"2020-11-03T15:32:23","modified_gmt":"2020-11-03T15:32:23","slug":"mdpi-special-issue-application-of-artificial-intelligence-and-data-mining-in-energy-system","status":"publish","type":"post","link":"https:\/\/www.gecad.isep.ipp.pt\/spet\/?p=230","title":{"rendered":"MDPI Special Issue \u201cApplication of Artificial Intelligence and Data Mining in Energy System\u201d"},"content":{"rendered":"\n<p>The power systems from today are very different from those of the past. Over the world, due to environmental concerns, the governments had been betting on the use of renewable energy sources to produce electricity. Power systems now face new challenges in order to integrate into this kind of generation. In fact, power systems are moving towards to the concept of smart grids. End-users are more aware of sustainability and energy efficiency issues having an active role in this sector. The quantity of data in power systems is growing rapidly due to huge database used by power systems engineers for various operations: power plants generation; transmission and distribution energy; electricity end-users (and prosumers).<\/p>\n\n\n\n<p>Applications of data mining techniques play an important role in all knowledge discovery processes, and they have a widespread use in power systems for tasks such as helping power systems planner\/operator to have smooth system planning\/operation, load profile characterization, consumer classification, and electricity consumption\/generation forecasting. Indeed, data mining techniques are useful for extracting useful information from the existing data bases. The application of artificial intelligence to power systems has been a great challenge in the last few decades and, gradually, has entered in our daily lives. Indeed, at present time, the use of artificial intelligence in power systems is a key point in many research fields and domains.<\/p>\n\n\n\n<p>This Special Issue focuses on the application of artificial intelligence and data mining in power system. Topics of interest for publication include but are not limited to the following:<\/p>\n\n\n\n<ul><li>Data mining techniques applied to power systems (e.g., Typical load profile characterization, customers classification, identification of electricity failures)<\/li><li>Artificial intelligence applied to energy systems (e.g., use of methods such as knowledge-based (expert) systems, fuzzy logic, neural networks and genetic algorithms)<\/li><li>Renewable energy, demand-response, smart distribution grids<\/li><li>Energy management system in smart distribution grids and in residential buildings<\/li><li>Advanced flexibility strategies for electricity communities<\/li><li>Shared PV generation in residential building context<\/li><li>Electric vehicles planning and operation in smart grid (including behavior models for simulation and optimization of EVs in the grid)<\/li><\/ul>\n\n\n\n<p>Prof. Dr. S\u00e9rgio Ramos<br>Dr. Jo\u00e3o Soares<br><em>Guest Editors<\/em><\/p>\n\n\n\n<p>Please check the issue information on MDPI:&nbsp;<a href=\"https:\/\/www.mdpi.com\/journal\/processes\/special_issues\/artificial_energy\">Special Issue \u201cApplication of Artificial Intelligence and Data Mining in Energy System\u201d<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The power systems from today are very different from those of the past. Over the world, due to environmental concerns, the governments had been betting on the use of renewable energy sources to produce electricity. Power systems now face new challenges in order to integrate into this kind of generation. In fact, power systems are [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":270,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"footnotes":""},"categories":[4],"tags":[],"jetpack_featured_media_url":"https:\/\/www.gecad.isep.ipp.pt\/spet\/wp-content\/uploads\/2020\/11\/mdpi.jpg","jetpack-related-posts":[{"id":232,"url":"https:\/\/www.gecad.isep.ipp.pt\/spet\/?p=232","url_meta":{"origin":230,"position":0},"title":"Workshop on Multi-agent based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems (MASGES)","date":"November 3, 2020","format":false,"excerpt":"The electrical power industry has evolved into a distributed and competitive industry in which market forces drive the price of energy. Deregulation led to the establishment of wholesale markets, where competing generators can offer their electricity output to retailers, and retail markets, where end-use customers can choose their suppliers. Electricity\u2026","rel":"","context":"In &quot;News&quot;","img":{"alt_text":"PAAMS MASGES","src":"https:\/\/i0.wp.com\/www.gecad.isep.ipp.pt\/spet\/wp-content\/uploads\/2020\/08\/paams-masges.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":321,"url":"https:\/\/www.gecad.isep.ipp.pt\/spet\/?p=321","url_meta":{"origin":230,"position":1},"title":"Workshop \u2013 Intelligent Buildings Management and Trusted Local Energy Markets","date":"January 7, 2021","format":false,"excerpt":"ISEP, 12 January 14:00 \u2013 16:00 Workshop link: https:\/\/videoconf-colibri.zoom.us\/j\/89677821270?pwd=dGdkNUVVUzhMTXIrL0JzdmNyTEpwdz09 Meeting ID: 896 7782 1270 Access password: 453702 AGENDA: 14:00 \u2013 14:10: Professor S\u00e9rgio Ramos \u2013 Building Resources Management towards flexible Contracted Power 14:15 \u2013 14:25: Professor Isabel Pra\u00e7a \u2013 Secure interactions and trusted Participation in local Electricity Trading 14:25 \u2013\u2026","rel":"","context":"In &quot;News&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.gecad.isep.ipp.pt\/spet\/wp-content\/uploads\/2021\/01\/Workshop_Agenda-12-Jan-2021.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":431,"url":"https:\/\/www.gecad.isep.ipp.pt\/spet\/?p=431","url_meta":{"origin":230,"position":2},"title":"Workshop \u2013 Tools and Techniques for Intelligent and Secure Energy Trading","date":"May 23, 2022","format":false,"excerpt":"Auditorium H202 , May 26, 2022, 18h30 In this workshop, we address tools and techniques to address the challenges of energy management in intelligent buildings and local energy markets. Simulation, Multi-Agent systems, and several machine learning and deep learning techniques are used to support an intelligent and secure trading environment\u2026","rel":"","context":"In &quot;News&quot;","img":{"alt_text":"SPET Benefice Workshop Cover 26 05 2022","src":"https:\/\/i0.wp.com\/www.gecad.isep.ipp.pt\/spet\/wp-content\/uploads\/2022\/05\/Workshop_26_05_2022.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":295,"url":"https:\/\/www.gecad.isep.ipp.pt\/spet\/?p=295","url_meta":{"origin":230,"position":3},"title":"\u201cPAAMS \u2013 Electronics MDPI Best papers award\u201d to SPET","date":"November 24, 2020","format":false,"excerpt":"Rui Andrade, researcher at GECAD, was granted with the Electronics MDPI Best papers, for the paper \u201cTrust Model for a Multi-Agent based simulation of Local Energy Markets\u201d, presented during the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems. The paper was published on Springer, Communications in Computer\u2026","rel":"","context":"In &quot;News&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.gecad.isep.ipp.pt\/spet\/wp-content\/uploads\/2020\/11\/paams2-1.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":451,"url":"https:\/\/www.gecad.isep.ipp.pt\/spet\/?p=451","url_meta":{"origin":230,"position":4},"title":"Energy Forecasting as an Enabler of Security for Industry 5.0","date":"June 20, 2022","format":false,"excerpt":"By: Sinan Wannous Workshop: Tools and Techniques for Intelligent and Secure Energy Trading","rel":"","context":"In &quot;Presentations&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":475,"url":"https:\/\/www.gecad.isep.ipp.pt\/spet\/?p=475","url_meta":{"origin":230,"position":5},"title":"Limiting the impact of cyber-attacks in a Multi-Agent based simulation of Local Energy Markets","date":"July 18, 2022","format":false,"excerpt":"By: Rui Andrade Workshop: Tools and Techniques for Intelligent and Secure Energy Trading","rel":"","context":"In &quot;Presentations&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=\/wp\/v2\/posts\/230"}],"collection":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=230"}],"version-history":[{"count":1,"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=\/wp\/v2\/posts\/230\/revisions"}],"predecessor-version":[{"id":231,"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=\/wp\/v2\/posts\/230\/revisions\/231"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=\/wp\/v2\/media\/270"}],"wp:attachment":[{"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gecad.isep.ipp.pt\/spet\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}